Key Responsibilities:
Develop and deploy AI/ML models for document parsing, classification, and information extraction. Build end-to-end pipelines for text extraction and data structuring. Improve model accuracy through data preprocessing, feature engineering, and model tuning. Collaborate with product and engineering teams to integrate ML solutions into applications. Ensure scalability and performance of deployed models in production environments. Required Skills & Qualifications: Solid experience in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with document parsing. Develop high-performance backend components and services using RUST. Experience with regular expressions, text cleaning, and data preprocessing